Cover Image

Guiding a Diffusion Model with a Bad Version of Itself

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Karras, Tero, Aittala, Miika, Kynkäänniemi, Tuomas, Lehtinen, Jaakko, Aila, Timo, Laine, Samuli
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
by: Kynkäänniemi, Tuomas, et al.
Published: (2024)

Analyzing and Improving the Training Dynamics of Diffusion Models
by: Karras, Tero, et al.
Published: (2023)

Finite Difference Flow Optimization for RL Post-Training of Text-to-Image Models
by: McAllister, David, et al.
Published: (2026)

Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction
by: Lian, Yongxiang, et al.
Published: (2026)

Spiking Diffusion Models
by: Cao, Jiahang, et al.
Published: (2024)

LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection
by: Yu, YiMing, et al.
Published: (2025)

Understanding the Role of Pathways in a Deep Neural Network
by: Lyu, Lei, et al.
Published: (2024)

Training a Custom CNN on Five Heterogeneous Image Datasets
by: Tabassum, Anika, et al.
Published: (2026)

TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling
by: Zhou, Deming, et al.
Published: (2025)

TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems
by: Chae, Byungchul, et al.
Published: (2024)

BiomedXPro: Prompt Optimization for Explainable Diagnosis with Biomedical Vision Language Models
by: Silva, Kaushitha, et al.
Published: (2025)

A Multimodal Physics-Informed Neural Network Approach for Mean Radiant Temperature Modeling
by: Shaeri, Pouya, et al.
Published: (2025)

GazeSCRNN: Event-based Near-eye Gaze Tracking using a Spiking Neural Network
by: Groenen, Stijn, et al.
Published: (2025)

NeuralDiffuser: Neuroscience-inspired Diffusion Guidance for fMRI Visual Reconstruction
by: Li, Haoyu, et al.
Published: (2024)

Scaling Up Resonate-and-Fire Networks for Fast Deep Learning
by: Huber, Thomas E., et al.
Published: (2025)

An Automatic Detection Method for Hematoma Features in Placental Abruption Ultrasound Images Based on Few-Shot Learning
by: Liu, Xiaoqing, et al.
Published: (2025)

Neuro-Inspired Visual Pattern Recognition via Biological Reservoir Computing
by: Ciampi, Luca, et al.
Published: (2026)

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks
by: Neumeier, Michael, et al.
Published: (2025)

Revisiting Direct Encoding: Learnable Temporal Dynamics for Static Image Spiking Neural Networks
by: He, Huaxu
Published: (2025)

Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
by: Yang, Jingjun, et al.
Published: (2025)

A Hybrid Deep Learning and Forensic Approach for Robust Deepfake Detection
by: Aribe Jr, Sales
Published: (2025)

Frozen Backpropagation: Relaxing Weight Symmetry in Deep Spiking Neural Networks
by: Goupy, Gaspard, et al.
Published: (2025)

Better, But Not Sufficient: Testing Video ANNs Against Macaque IT Dynamics
by: Dunnhofer, Matteo, et al.
Published: (2026)

Expert-Adaptive Medical Image Segmentation
by: Hu, Binyan, et al.
Published: (2024)

ESC: Evolutionary Stitched Camera Calibration in the Wild
by: Rypeść, Grzegorz, et al.
Published: (2024)

A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks
by: Khosrowshahli, Rasa, et al.
Published: (2025)

UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks
by: Qian, Yuanbin, et al.
Published: (2025)

Memory-Free and Parallel Computation for Quantized Spiking Neural Networks
by: Zhang, Dehao, et al.
Published: (2025)

Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Network
by: Cheng, Hao, et al.
Published: (2023)

Context-aware Sparse Spatiotemporal Learning for Event-based Vision
by: Wang, Shenqi, et al.
Published: (2025)

Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware
by: Bonazzi, Pietro, et al.
Published: (2023)

Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection
by: Wang, Shenqi, et al.
Published: (2025)

Regularizing Differentiable Architecture Search with Smooth Activation
by: Zhou, Yanlin, et al.
Published: (2025)

Dynamic Event-based Optical Identification and Communication
by: von Arnim, Axel, et al.
Published: (2023)

Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation
by: Hu, Binyan, et al.
Published: (2024)

Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks
by: Kymn, Christopher J., et al.
Published: (2024)

Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition
by: Wang, Yang, et al.
Published: (2024)

Tomographic Reconstruction and Regularisation with Search Space Expansion and Total Variation
by: al-Rifaie, Mohammad Majid, et al.
Published: (2024)

Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping
by: Broni-Bediako, Clifford, et al.
Published: (2024)

Deep multi-prototype capsule networks
by: Abbassi, Saeid, et al.
Published: (2024)